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Titlebook: Big Data Analysis: New Algorithms for a New Society; Nathalie Japkowicz,Jerzy Stefanowski Book 2016 Springer International Publishing Swit

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發(fā)表于 2025-3-21 16:40:43 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Big Data Analysis: New Algorithms for a New Society
影響因子2023Nathalie Japkowicz,Jerzy Stefanowski
視頻videohttp://file.papertrans.cn/186/185585/185585.mp4
發(fā)行地址Recent research on Big Data Analysis.Presents new algorithms for a new society.Includes fundamentals, methodological issues as well as algorithms and applications.Includes supplementary material:
學(xué)科分類Studies in Big Data
圖書封面Titlebook: Big Data Analysis: New Algorithms for a New Society;  Nathalie Japkowicz,Jerzy Stefanowski Book 2016 Springer International Publishing Swit
影響因子.This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented by some of the most eminent researchers in this area. ..It demonstrates that Big Data Analysis opens up new research problems which were either never considered before, or were only considered within a limited range. In addition to providing methodological discussions on the principles of mining Big Data and the difference between traditional statistical data analysis and newer computing frameworks, this book presents recently developed algorithms affecting such areas as business, financial forecasting, human mobility, the Internet of Things, information networks, bioinformatics, medical systems and life science. It explores, through a number of specific examples, how the study of Big Data Analysis has evolved and how it has started and will most likely continue to affect society. While the benefits brought upon by Big Data Analysis are underlined, the book also discusses some of the warnings that have been issued concerning the potential dangers of Big Data Analysis along with its pitfalls and challenges..
Pindex Book 2016
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Book 2016e benefits brought upon by Big Data Analysis are underlined, the book also discusses some of the warnings that have been issued concerning the potential dangers of Big Data Analysis along with its pitfalls and challenges..
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Bart Depreitere,Geert Meyfroidt,Fabian Güizant features and rule networks do not only reflect some syntactical properties of the data and classifiers but also may convey meaningful clues about true interactions in the modeled biological system. In this chapter we develop further our method of Monte Carlo Feature Selection and Interdependency
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An Insight on Big Data Analytics,mind the long-term academic training and field experience of statisticians concerning reduction of dataset volumes, sampling in a more general setting, data depreciation and quality, model design and validation, visualisation, etc. We expect that combining the present approaches will give incentives
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